Effects of correctness and suggestive feedback on learning with an autonomous virtual trainer. - Xiumin Shang; Marcelo Kallmann; Ahmed Sabbir Arif (IUI Companion, 2019)

Reinforcement Learning-Based Solution to Power Grid Planning and Operation Under Uncertainties. - Xiumin Shang; Lin Ye; Jing Zhang; Jingping Yang; Jianping Xu; Qin Lyu; Ruisheng Diao (MLHPC/AI4S@SC, 2020)

Evaluating Feedback Strategies for Virtual Human Trainers. - Xiumin Shang; Ahmed Sabbir Arif; Marcelo Kallmann (CoRR, 2020)

Multi-Stage Transmission Line Flow Control Using Centralized and Decentralized Reinforcement Learning Agents. - Xiumin Shang; Jinping Yang; Bingquan Zhu; Lin Ye; Jing Zhang; Jianping Xu; Qin Lyu; Ruisheng Diao (CoRR, 2021)

VR/AR Case Studies. - Ralf Doerner 001; Alexander Tesch; Axel Hildebrand; Stephan Leenders; Tobias Tropper; Wilhelm Wilke; Christian Winkler; Julian Hillig; Alec Pestov; James A. Walsh; Bruce H. Thomas; Gerhard Kimenkowski; et al. (Virtual and Augmented Reality, 2022)

Constraint-based multi-agent reinforcement learning for collaborative tasks. - Xiumin Shang; Tengyu Xu; Ioannis Karamouzas; Marcelo Kallmann (Comput. Animat. Virtual Worlds, 2023)

Modeling Collaborative Virtual Human Agents - Xiumin Shang (2023)

Composite Motion Learning with Task Control. - Pei Xu; Xiumin Shang; Victor B. Zordan; Ioannis Karamouzas (ACM Trans. Graph., 2023)